Hanane Azzag - RankMe

95 papers A* 3B 16C 5Journal 28Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design. IEEE Trans. Cybern. Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanane Azzag
2026	J	`jnl`	Special issue on intelligent systems, ISMIS'24 selected papers. J. Intell. Inf. Syst. Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali
2025	J	`jnl`	Context normalization: A new approach for the stability and improvement of neural network performance. Data Knowl. Eng. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
2025	—	`conf`	Génération en une seule passe de séries temporelles multivariées par modélisation multivariée conditionnelle. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2025	A*	`conf`	Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification. EMNLP Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanane Azzag
2025	J	`jnl`	MB-ORES: A Multi-Branch Object Reasoner for Visual Grounding in Remote Sensing. CoRR Karim Radouane, Hanane Azzag, Mustapha Lebbah
2025	J	`jnl`	OneEncoder: a lightweight framework for efficient multimodal training. Neural Comput. Appl. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2025	J	`jnl`	Prototype-Guided Diffusion: Visual Conditioning without External Memory. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2025	—	`conf`	Simulateur de moteurs d'avions. EGC Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2025	J	`jnl`	Value-Free Policy Optimization via Reward Partitioning. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	A*	`conf`	AESim: A Data-Driven Aircraft Engine Simulator. IJCAI Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	B	`conf`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. ICIP Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Cluster-Based Normalization Layer for Neural Networks. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	J	`jnl`	Context-Based Multimodal Fusion. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. Neural Comput. Appl. Kodjo Mawuena Amekoe, Hanane Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2024	C	`ed.`	Foundations of Intelligent Systems - 27th International Symposium, ISMIS 2024, Poitiers, France, June 17-19, 2024, Proceedings ISMIS Annalisa Appice, Hanane Azzag, Mohand-Said Hacid, Allel Hadjali, Zbigniew W. Ras
2024	B	`conf`	From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics. ESANN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	J	`jnl`	Game Theory Meets Statistical Mechanics in Deep Learning Design. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	J	`jnl`	LightMDETR: A Lightweight Approach for Low-Cost Open-Vocabulary Object Detection Training. CoRR Binta Sow, Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	B	`conf`	Lightweight Cross-Modal Representation Learning. ESANN Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	—	`conf`	Normalisation Contextuelle : Une Nouvelle Approche pour la Stabilité et l'Amélioration des Performances des Réseaux de Neurones. EGC Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2024	B	`conf`	One-Pass Generation of Multivariate Time Series through Conditional Multivariate Modeling. IJCNN Abdellah Madane, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2024	J	`jnl`	OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	J	`jnl`	Supervised Batch Normalization. CoRR Bilal Faye, Mustapha Lebbah, Hanane Azzag
2024	B	`conf`	UAN: Unsupervised Adaptive Normalization. IJCNN Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2024	J	`jnl`	Unsupervised Adaptive Normalization. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Fangchen Fang
2023	—	`conf`	A New Class of Intelligible Models for Tabular Learning. PKDD/ECML Workshops (3) Kodjo Mawuena Amekoe, Hanane Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023	—	`conf`	Context Normalization Layer with Applications. ICDM (Workshops) Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra
2023	J	`jnl`	Context Normalization for Robust Image Classification. CoRR Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng
2023	—	`conf`	Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2022	J	`jnl`	Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2022	J	`jnl`	Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille
2021	B	`conf`	Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2021	—	`conf`	Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant
2020	J	`jnl`	A Survey and Implementation of Performance Metrics for Self-Organized Maps. CoRR Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	B	`conf`	An Invariance-guided Stability Criterion for Time Series Clustering Validation. ICPR Florent Forest, Alex Mourer, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2020	—	`conf`	Autonomous Driving Validation with Model-Based Dictionary Clustering. ECML/PKDD (4) Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	—	`conf`	Clustering de séries temporelles par construction de dictionnaire. EGC Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	J	`jnl`	Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving Validation. CoRR Étienne Goffinet, Anthony Coutant, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi
2020	J	`jnl`	Selecting the Number of Clusters K with a Stability Trade-off: an Internal Validation Criterion. CoRR Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2019	—	`ed.`	23rd International Conference on Information Visualisation, IV 2019, Paris, France, July 2-5, 2019, Part I IV (1) Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, Rita Francese, Muhammad Sarfraz, Theodor G. Wyeld, Fatma Bouali, Gilles Venturini, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Müller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, Veronica Rossano
2019	J	`jnl`	A Distributed and Approximated Nearest Neighbors Algorithm for an Efficient Large Scale Mean Shift Clustering. CoRR Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
2019	J	`jnl`	A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering. J. Parallel Distributed Comput. Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag, Christophe Cérin
2019	—	`conf`	Algorithms for an Efficient Tensor Biclustering. PAKDD (Workshops) Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
2019	J	`jnl`	Algorithms for an Efficient Tensor Biclustering. CoRR Andriantsiory Dina Faneva, Mustapha Lebbah, Hanane Azzag, Gaël Beck
2019	—	`conf`	Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps. PAKDD (Workshops) Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille
2019	J	`jnl`	Nearest Neighbor Median Shift Clustering for Binary Data. CoRR Gaël Beck, Tarn Duong, Mustapha Lebbah, Hanane Azzag
2018	—	`conf`	A Complete Data Science Work-flow For Insurance Field. IEEE BigData Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag, Salima Benbernou, Mourad Ouziri, Tarn Duong
2018	—	`conf`	A New Micro-Batch Approach for Partial Least Square Clusterwise Regression. INNS Conference on Big Data Gaël Beck, Hanane Azzag, Stéphanie Bougeard, Mustapha Lebbah, Ndèye Niang
2018	—	`ed.`	Extraction et Gestion des Connaissances, EGC 2018, Paris, France, January 23-26, 2018 EGC Mustapha Lebbah, Christine Largeron, Hanane Azzag
2018	B	`conf`	Hierarchical Laplacian Score for unsupervised feature selection. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2018	—	`conf`	Mean-shift : Clustering scalable et distribué. EGC Gaël Beck, Hanane Azzag, Mustapha Lebbah, Tarn Duong
2017	—	`conf`	Nouveau modèle pour un passage à l'échelle de la 0-subsomption. EGC Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanane Azzag
2016	B	`conf`	CL-AntInc Algorithm for Clustering Binary Data Streams Using the Ants Behavior. KES Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2015	—	`conf`	Clustering of Binary Data Sets Using Artificial Ants Algorithm. ICONIP (1) Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2015	—	`conf`	Clustering topologique pour le flux de données. EGC Mohammed Ghesmoune, Mustapha Lebbah, Hanane Azzag
2015	B	`conf`	Growing Hierarchical Trees for Data Stream clustering and visualization. IJCNN Nhat-Quang Doan, Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah
2015	B	`conf`	How to use ants for data stream clustering. CEC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2015	—	`conf`	Modèle de Biclustering dans un paradigme "Mapreduce". EGC Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
2014	—	`conf`	Biclustering using Spark-MapReduce. IEEE BigData Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag
2014	—	`ch.`	Détection de nouveautés en utilisant un nouveau score de détection de "groupes-outliers". Fouille de données complexes Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2014	—	`conf`	Feature Group Weighting and Topological Biclustering. ICONIP (2) Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag, Amine Chaibi
2014	—	`conf`	Incremental clustering of data stream using real ants behavior. NaBIC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
2014	—	`conf`	Pondération de blocs de variables en bi-partitionnement topologique. EGC Amine Chaibi, Hanane Azzag, Mustapha Lebbah
2014	—	`conf`	SOM Clustering Using Spark-MapReduce. IPDPS Workshops Tugdual Sarazin, Hanane Azzag, Mustapha Lebbah
2013	C	`ed.`	17th International Conference on Information Visualisation, IV 2013, London, United Kingdom, July 16-18, 2013 IV Ebad Banissi, Hanane Azzag, Mark W. McK. Bannatyne, Stefan Bertschi, Fatma Bouali, Remo Burkhard, John Counsell, Alfredo Cuzzocrea, Martin J. Eppler, Barbara Hammer, Mustapha Lebbah, Francis T. Marchese, Muhammad Sarfraz, Anna Ursyn, Gilles Venturini, Theodor G. Wyeld
2013	C	`conf`	A New Visualization of Group-Outliers in Unsupervised Learning. IV Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	B	`conf`	A new bi-clustering approach using topological maps. IJCNN Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	—	`conf`	Clustering using chemical and colonial odors of real ants. NaBIC Nesrine Masmoudi, Hanane Azzag, Mustapha Lebbah, Cyrille Bertelle
2013	J	`jnl`	Group Outlier factor: a New Score using Self-Organising Map for Group-Outlier and Novelty Detection. Int. J. Comput. Intell. Appl. Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	—	`conf`	Nouvelle approche de bi-partitionnement topologique. EGC Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2013	B	`conf`	Self-organizing trees for visualizing protein dataset. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah, Guillaume Santini
2013	—	`conf`	Sélection de variables non supervisée sous contraintes hiérarchiques. EGC Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	C	`ed.`	16th International Conference on Information Visualisation, IV 2012, Montpellier, France, July 11-13, 2012 IV Ebad Banissi, Stefan Bertschi, Camilla Forsell, Jimmy Johansson, Sarah Kenderdine, Francis T. Marchese, Muhammad Sarfraz, Liz J. Stuart, Anna Ursyn, Theodor G. Wyeld, Hanane Azzag, Mustapha Lebbah, Gilles Venturini
2012	J	`jnl`	An artificial ants model for fast construction and approximation of proximity graphs. Adapt. Behav. Hanane Azzag, Christiane Guinot, Gilles Venturini
2012	B	`conf`	Automatic Group-Outlier Detection. ESANN Amine Chaibi, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Clustering multi-niveaux de graphes : hiérarchique et topologique. EGC Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Détection de groupes outliers en classification non supervisée. EGC Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2012	C	`conf`	Graph Decomposition Using Self-organizing Trees. IV Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	B	`conf`	Growing Self-organizing Trees for knowledge discovery from data. IJCNN Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2012	—	`conf`	Novelty Detection Using a New Group Outlier Factor. ICONIP (3) Amine Chaibi, Mustapha Lebbah, Hanane Azzag
2012	—	`conf`	Self-Organizing Map and Tree Topology for Graph Summarization. ICANN (2) Nhat-Quang Doan, Hanane Azzag, Mustapha Lebbah
2011	—	`conf`	A New Way for Hierarchical and Topological Clustering. EGC (best of volume) Hanane Azzag, Mustapha Lebbah
2011	—	`conf`	A cooperative biomimetic approach for high dimensional data mining. GECCO (Companion) Lydia Boudjeloud, Hanane Azzag
2011	—	`conf`	Une nouvelle approche visuelle pour la classification hiérarchique et topologique. EGC Hanane Azzag, Mustapha Lebbah
2010	—	`conf`	Approche biomimétique coopérative pour la visualisation de grands graphes multidimensionels. EGC Lydia Boudjeloud-Assala, Hanane Azzag
2010	—	`conf`	Auto-organisation topologique et hiérarchique des données. EGC Hanane Azzag, Mustapha Lebbah
2010	—	`conf`	Topological Hierarchical Tree Using Artificial Ants. ICONIP (1) Mustapha Lebbah, Hanane Azzag
2009	—	`conf`	A New Approach for Auto-organizing a Groups of Artificial Ants. ECAL (2) Hanane Azzag, Mustapha Lebbah
2008	B	`conf`	Clustering of Self-Organizing Map. ESANN Hanane Azzag, Mustapha Lebbah
2008	—	`conf`	Segmentation hiérarchique des cartes topologiques. EGC Mustapha Lebbah, Hanane Azzag
2007	—	`conf`	Incremental Construction of Neighborhood Graphs Using the Ants Self-Assembly Behavior. ICTAI (1) Julien Lavergne, Hanane Azzag, Christiane Guinot, Gilles Venturini
2007	A*	`conf`	On building graphs of documents with artificial ants. WWW Hanane Azzag, Julien Lavergne, Christiane Guinot, Gilles Venturini
2006	—	`conf`	Un aperçu de la fouille visuelle de données. AAFD Hanane Azzag, David Da Costa, Christiane Guinot, Gilles Venturini